Map-reduce job virtualization
Abstract:
A method for map-reduce job virtualization is disclosed. The method includes receiving a map-reduce job written in a first map-reduce language. The map-reduce job is to be performed in parallel on a plurality of nodes of a plurality of clusters. The method also includes selecting one or more clusters to run the map-reduce job. The method further includes identifying a second map-reduce language associated with the selected clusters. The method also includes converting the first map-reduce language of the map-reduce job into the second map-reduce language. The method further causes the map-reduce job in the second map-reduce language to be run on the plurality of nodes of the selected clusters.
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